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Glossary · Lead Generation

MQL vs SQL: What’s the Difference?

MQL vs SQL comes down to who has qualified the lead and how far. A marketing-qualified lead (MQL) is a lead that marketing’s rules say is worth sales’ attention: they fit your ideal customer and have shown interest. A sales-qualified lead (SQL) is a lead a salesperson has spoken to or reviewed and confirmed as a real opportunity: right need, right authority, realistic timing. Every SQL was an MQL first. Most MQLs never become SQLs, and that’s normal.

Why the MQL vs SQL distinction matters

Most friction between marketing and sales comes from undefined handoffs. Marketing reports 300 leads; sales says they’re all junk. Both may be right, because they mean different things by “lead”.

Clear definitions let you measure each stage of lead generation, fix the weakest one, and send the right conversion signal to ad platforms.

How MQLs and SQLs differ

MQL SQL
Who qualifies Marketing rules, often a lead score A salesperson
Based on Fit data and digital behavior A conversation or review: need, budget, authority, timing
Typical trigger Score threshold, demo request, high-intent content Discovery call confirms a real opportunity
Next step Sales accepts or rejects it An opportunity or deal is created
Owner of the metric Marketing Sales

Many teams add a stage between them: SAL (sales-accepted lead), meaning sales has agreed to work the lead, but hasn’t qualified it yet. It exposes leads that sit untouched.

Example: one quarter’s funnel

A hypothetical B2B software company reviews Q3:

  • 1,200 new leads → 240 MQLs (20%)
  • 240 MQLs → 192 SALs (80% accepted by sales)
  • 192 SALs → 58 SQLs (30%)
  • 58 SQLs → 14 won deals (24%)

The weak point isn’t volume. It’s SAL → SQL at 30%. Call notes show many MQLs came from a broad ebook offer that attracted students and consultants. Marketing tightens the fit criteria and adds a company-size question to the form. Next quarter, MQLs drop to 180, but SQLs rise to 65. Fewer MQLs, more pipeline.

The definition matters less than the agreement. I've seen founders argue for weeks about lead scores when the real issue was that sales and marketing had never sat in the same room to agree what a good lead looks like. Write the criteria on one page, have both sides sign off, and review the rejected leads together every month.

Joanna Okedara-Kalu Founder & CEO, TechDella

How to define MQL and SQL for your team

Handoff agreement checklist

  • Write the MQL definition in one sentence: fit criteria plus the action or score that triggers it
  • Write the SQL definition: the questions sales must confirm, such as need, budget range, decision role and timeline
  • Agree a response time for MQLs, for example first contact within one business day
  • Add a rejection reason field so sales explains every rejected MQL
  • Track conversion rates at every stage, every month
  • Send SQL and closed-won events back to Google and Meta as offline conversions
  • Review definitions together each quarter using the rejection reasons

Myth vs fact

MythMore MQLs means marketing is doing a better job.
FactMQL volume is easy to inflate with broad offers. The test is how many MQLs become SQLs and revenue. Report the conversion rate, not just the count.

Signals like intent data can help you spot accounts worth contacting before anyone fills a form.

Frequently asked questions

What is an example of an MQL?

A marketing director at a target-size company who downloads a pricing guide and visits the pricing page twice in a week, pushing their lead score over your threshold. They fit and they're showing interest, but nobody has spoken to them yet.

What is an example of an SQL?

That same marketing director after a discovery call confirms they have budget approved for next quarter, are evaluating three vendors and need a decision in 60 days. Sales creates an opportunity.

What is a good MQL to SQL conversion rate?

It varies widely by industry, deal size and how strict your MQL definition is. Track your own rate over time rather than chasing a benchmark. A falling rate usually means MQL criteria are too loose.

Is a demo request an MQL or an SQL?

Usually an MQL, or a fast track to sales acceptance. It shows strong intent, but sales still needs to confirm need, authority and timing before it counts as an SQL.

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